[QNN-EP] Define SpaceToDepth fusion for YOLOv2. (#24848)
### Description
<!-- Describe your changes. -->
- Add SpaceToDepth fusion for QNN preprocess.
- The pattern in YOLOv2 is uncommon while the common seen one is left as future work.
- Add entry point/API for non-quantization user to preprocess models for QNN execution.
- Revise cmake to package newly introduced directory into Python wheel.
### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
- While executing YOLOv2 model on QNN-EP, a sequence of Reshape and Transpose having 6D shapes are falling back to CPU due to HTP limitation. Add fusion to fuse this sequence of ops into a single SpaceToDepth which can be directly executed on QNN-EP.
- Since current QNN preprocess is provided in `onnxruntime/python/tools/quantization/execution_providers/qnn/preprocess.py` which is under quantization directory, the path may be confusing for non-quantization users. In order to allow non-quantization users to preprocess models for QNN, introduce `onnxruntime/python/tools/qnn/preprocess.py` to serve as the entry point and provide API to preprocess models.
